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3DB: A Framework for Debugging Computer Vision Models

3DB: A Framework for Debugging Computer Vision Models

7 June 2021
Guillaume Leclerc
Hadi Salman
Andrew Ilyas
Sai H. Vemprala
Logan Engstrom
Vibhav Vineet
Kai Y. Xiao
Pengchuan Zhang
Shibani Santurkar
Greg Yang
Ashish Kapoor
A. Madry
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Papers citing "3DB: A Framework for Debugging Computer Vision Models"

9 / 9 papers shown
Title
Trapped in texture bias? A large scale comparison of deep instance
  segmentation
Trapped in texture bias? A large scale comparison of deep instance segmentation
J. Theodoridis
Jessica Hofmann
J. Maucher
A. Schilling
SSeg
19
5
0
17 Jan 2024
REAP: A Large-Scale Realistic Adversarial Patch Benchmark
REAP: A Large-Scale Realistic Adversarial Patch Benchmark
Nabeel Hingun
Chawin Sitawarin
Jerry Li
David A. Wagner
AAML
25
14
0
12 Dec 2022
ModelDiff: A Framework for Comparing Learning Algorithms
ModelDiff: A Framework for Comparing Learning Algorithms
Harshay Shah
Sung Min Park
Andrew Ilyas
A. Madry
SyDa
46
26
0
22 Nov 2022
Data-Centric Debugging: mitigating model failures via targeted data
  collection
Data-Centric Debugging: mitigating model failures via targeted data collection
Sahil Singla
Atoosa Malemir Chegini
Mazda Moayeri
Soheil Feiz
14
4
0
17 Nov 2022
3D Common Corruptions and Data Augmentation
3D Common Corruptions and Data Augmentation
Oğuzhan Fatih Kar
Teresa Yeo
Andrei Atanov
Amir Zamir
3DPC
31
107
0
02 Mar 2022
Datamodels: Predicting Predictions from Training Data
Datamodels: Predicting Predictions from Training Data
Andrew Ilyas
Sung Min Park
Logan Engstrom
Guillaume Leclerc
A. Madry
TDI
33
130
0
01 Feb 2022
Robust Feature-Level Adversaries are Interpretability Tools
Robust Feature-Level Adversaries are Interpretability Tools
Stephen Casper
Max Nadeau
Dylan Hadfield-Menell
Gabriel Kreiman
AAML
40
27
0
07 Oct 2021
SAPIEN: A SimulAted Part-based Interactive ENvironment
SAPIEN: A SimulAted Part-based Interactive ENvironment
Fanbo Xiang
Yuzhe Qin
Kaichun Mo
Yikuan Xia
Hao Zhu
...
He-Nan Wang
Li Yi
Angel X. Chang
Leonidas J. Guibas
Hao Su
204
485
0
19 Mar 2020
On Completeness-aware Concept-Based Explanations in Deep Neural Networks
On Completeness-aware Concept-Based Explanations in Deep Neural Networks
Chih-Kuan Yeh
Been Kim
Sercan Ö. Arik
Chun-Liang Li
Tomas Pfister
Pradeep Ravikumar
FAtt
122
297
0
17 Oct 2019
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